Optimal image for detection about agegenderdeeplearning

[GilLevi]

Hi,

Thank you for your interest in our work.

Indeed, you need to feed the aligned cropped faces.

Can you upload some examples?

Best,
Gil

[Ravisik]

Hi Gil,
Thanks a lot for your answer.

This is 2 examples:

Detected as Female 60/100 years

Detected as Male 60/100 years.

Detected as female 60/100 years

Detected as female 60/100 years.

All images are aligned. Again thanks a lot for your work, I just want to know if there is a way to improve the detection.

Another probable issues:
-does the size of the input image matter?

• doest the people need to look directly at the camera?

Thanks a lot!

[Ravisik]

Additional info:

I read frames using openCV, do you think it can be a cause of the issue?
Thanks

[GilLevi]

Hi,

The images are too large, you should feed only the cropped faces.

Best,
Gil

[Ravisik]

Hi Gil,

Thanks for you response. It seems to work better that way.

However, for the age detection, I get "60/100 year" detection quasi all the time. Do you know what could cause this wrong detection?

Thanks again,
Florian

[GilLevi]

On which images do you get that detection? can you upload some images?

[Ravisik]

Hi Gil,

This is an example of face detection + alignment:

(For the colour, the problem is simply openCV which reads files in BGR)

[GilLevi]

And you got 60/100 detection for that?

The detection and alignment looks good, keep in mind that the model is far from perfect.

Best,
Gil

[Ravisik]

Yep!

thanks for your help :)

[GilLevi]

You welcome and thank you for your interest in our work.

[Ravisik]

Ha, I just found a stupid error (I think). I used opencv to read images, which us a 0 to 255 scale. Caffe.io seems to uses a 0 to 1 scale. Maybe that should explain a lot of errors. I will see what's going on

[GilLevi]

Great! let me know if that helps.

[Ravisik]

Gender detection is better (quasi perfect), however age detection seems still not really accurate!

Thanks a lot for your help!

[GilLevi]

You welcome and thanks again for using our models.